How does tracheostomy affect length of hospital stay in head and neck cancer?

2017 ◽  
Vol 55 (10) ◽  
pp. e104
Author(s):  
Hussein Mohamedbhai ◽  
Suraj Thomas ◽  
Lara Watson ◽  
Colin Liew ◽  
Iain Hutchinson ◽  
...  
1995 ◽  
Vol 14 ◽  
pp. 56
Author(s):  
M.A.E. van Bokhorst-de van der Schueren ◽  
J.J. Quak ◽  
H.P. Sauerwein ◽  
R.I.C. Wesdorp ◽  
G.B. Snow ◽  
...  

2021 ◽  
pp. 000348942110457
Author(s):  
Judy J. Wang ◽  
Samuel J. Rubin ◽  
Anand K. Devaiah ◽  
Daniel L. Faden ◽  
Andrew R. Salama ◽  
...  

Objective: This study aims to identify clinical and socioeconomic factors associated with long-term, post-surgical opioid use in the head and neck cancer population. Methods: A single center retrospective study was conducted including patients diagnosed with head and neck cancer between January 1, 2014 and July 1, 2019 who underwent primary surgical management. The primary outcome measure was continued opioid use 6 months after treatment completion. Both demographic and cancer-related variables were recorded to determine what factors were associated with prolonged opioid use. Univariate analysis was performed using chi-squared test for categorical variables and 2-sample t-test for continuous variables. Multivariate analysis was performed using logistic regression. Results: A total of 359 patients received primary surgical management. Forty-five patients (12.53%) continued to take opioids 6 months after treatment completion. Using univariate analysis, patients less than 65 years of age ( P = .0126), adjuvant chemoradiation (n = 25, P < .001), and overall length of hospital stay (8.60 ± 8.58 days, P = .0274) were significantly associated with long term opioid use. Multivariate logistic regression showed that adjuvant chemoradiation (OR = 3.446, 95% CI [1.742, 6.820], P = .0004) and overall length of hospital stay (OR = 0.949, 95% CI [0.903, 0.997], P = .0373) to be significantly associated with opioid use 6 months after head and neck cancer treatment. Conclusion: Long-term postoperative opioid use in head and neck cancer patients is significantly associated with adjuvant chemoradiation, and patients with longer length of hospital stay. Therefore, future research should focus on interventions to better manage opioid use during the acute treatment period to decrease long-term use.


2019 ◽  
Vol 26 (3) ◽  
pp. 580-586
Author(s):  
Alina T Jaeger ◽  
James E Connelly ◽  
Ruyun Jin ◽  
Samuel N Jacobson ◽  
Rom S Leidner

Background/objective National guidelines do not recommend the routine use of antimicrobial prophylaxis in patients with solid tumors, yet prophylactic agents are still sometimes prescribed for head and neck cancer patients. The purpose of this study is to determine the effect of prophylactic antimicrobials on the incidence of infection in patients undergoing chemoradiation for head and neck cancer. Methods Between 2013 and 2016, patients receiving chemoradiation for head and neck cancer at three outpatient oncology clinics were identified by retrospective review. Cohorts were based on administration or absence of prophylactic antimicrobials. The primary outcome of this study was incidence of infection. Secondary outcomes included incidence of hospitalization and length of hospital stay. Results Seventy-seven patients were analyzed, 47% (n = 36) were not prescribed antimicrobial prophylaxis and 53% (n = 41) were prescribed prophylaxis. Infection occurred in 31 patients in the no prophylaxis cohort and in 34 patients in the prophylaxis cohort (86.1% vs. 82.9%, p = 0.945). Twenty patients in the no prophylaxis cohort were hospitalized versus 16 patients in the prophylaxis cohort ( p = 0.222). The average length of hospital stay was 6 days in the no prophylaxis cohort and 10.6 days in the prophylaxis cohort ( p = 0.007). Conclusion The use of antimicrobial prophylaxis did not significantly impact the incidence of infection when compared to patients who were not prescribed prophylaxis. There was no difference in the incidence of hospitalization, however, the patients in the prescribed prophylactic group had longer length of hospital stay.


2015 ◽  
Vol 67 (7) ◽  
pp. 1093-1103 ◽  
Author(s):  
Eva Leistra ◽  
Simone E. J. Eerenstein ◽  
Loes H. van Aken ◽  
Femke Jansen ◽  
Marian A. E. de van der Schueren ◽  
...  

2021 ◽  
pp. 019459982110434
Author(s):  
Rohith S. Voora ◽  
Alexander S. Qian ◽  
Nikhil V. Kotha ◽  
Edmund M. Qiao ◽  
Minhthy Meineke ◽  
...  

Objective To evaluate the predictive utility of the Hospital Frailty Risk Score (HFRS), a stratification tool based on the ICD-10 ( International Classification of Disease, Tenth Revision), and other risk factors for 30-day readmissions and mortality in a nationally representative cohort. Study Design Retrospective database review. Setting Nationwide Readmissions Database (2017). Methods Patients with head and neck cancer who underwent major surgical procedures were identified from the 2017 Nationwide Readmissions Database, representing 116 medical centers nationwide. Bivariate and multivariable logistic regression methods were used to identify factors associated with unplanned 30-day readmission, 30-day readmission mortality, and increased length of hospital stay. Results A total of 14,420 patients underwent major head and neck cancer surgery. Unplanned readmission occurred in 11% of patients. The most common reasons for unplanned readmission were procedural complications (26.5%), sepsis (7.3%), and respiratory failure (3.9%). Elevated frailty index (HFRS ≥5) was identified in 22% of patients. Frailty was associated with higher 30-day readmission rates (18.0% vs 9.5%, P < .01), which held on multivariate modeling (odds ratio [OR], 1.59 [95% CI, 1.37-1.85]). Frail patients spent more days in the hospital (8.2 vs 6.8, P = .02) and incurred more charges across hospital stays ($275,000 vs $188,000, P < .01). Patients >75 years old (OR, 1.26 [1.03-1.55]) and patients with electrolyte abnormalities (OR, 1.25 [1.07-1.46] were significantly more likely to be readmitted. Conclusion In this head and neck cancer surgical population, HFRS significantly predicted unplanned readmission. HFRS is a potential risk stratification tool and should be compared with other methods and explored in other cancer populations. Beyond the challenge of identifying at-risk patients, future work should explore potential interventions aimed at mitigating readmission.


2008 ◽  
Vol 139 (2_suppl) ◽  
pp. P35-P36
Author(s):  
Mrinal Supriya ◽  
Louise Santangeli ◽  
Muhammad Shakeel ◽  
Kim Ah-See

Objective Can we control MRSA incidence in head and neck cancer patients by 1) Active surveillance cultures of patients fulfilling Society for Healthcare Epidemiology of America (SHEA) & Scottish Infection Standards and Strategy (SISS) guideline? 2) Cohorting these patients? 3) Restricted Health Care Workers (HCW) access? Methods Prospective case series: July 2007–January 2008. 26 preoperative head and neck cancer patients had a questionnaire filled in to identify known predictors for MRSA as suggested by SISS Group. Intervention: Preoperative nasal swabs, cohorting away from other cases, restricted access. MRSA incidence compared to that over the preceding year(Jan 2006-Jan 2007). Results 26 eligible patients. None of them had known risk factors for MRSA. 17 patients had swabs taken pre-admission. All screened patients were non-carriers of MRSA in their nose and none of them developed MRSA infection during hospital stay. Of remaining 9 patients swabbed after admission, 3 developed MRSA during hospital stay. The incidence of MRSA was 11.5% (3/26) during study period, compared to 28.5% (24/84) the year before implementing these interventions. Conclusions Head and neck cancer patients do not have increased risk factors for MRSA colonization and their active surveillance cultures are unlikely to influence MRSA incidence. Cohorting these patients with restricted HCW access decreased the MRSA rate at our centre.


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